This book presents a rigorous and systematic investigation into the optimization of Proportional-Integral-Derivative (PID) controllers for industrial servo systems using Genetic Algorithm (GA) optimization techniques. The work bridges classical control theory with modern evolutionary computation, offering both a comprehensive review of existing PID tuning methodologies and a detailed exposition of how biological-inspired optimization can yield superior control performance. It presents a comprehensive study based on a research project in the field of Control Systems Engineering, with a primary focus on the comparative analysis of various PID controller tuning techniques for servo systems. The research aims to investigate the effectiveness, stability, and performance characteristics of conventional and intelligent tuning approaches in achieving optimal control response for servo-driven applications.
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Mr. Arnab Ganguly, Dr. Abhik Hazra & Mr. Amartya Roy is presently working as an Assistant Professor in the Department of Electrical Engineering at Gargi Memorial Institute of Technology, Kolkata. Their research interests lies in the field of illumination engineering, power system optimization and renewable energy systems.
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Paperback. Zustand: new. Paperback. This book presents a rigorous and systematic investigation into the optimization of Proportional-Integral-Derivative (PID) controllers for industrial servo systems using Genetic Algorithm (GA) optimization techniques. The work bridges classical control theory with modern evolutionary computation, offering both a comprehensive review of existing PID tuning methodologies and a detailed exposition of how biological-inspired optimization can yield superior control performance. It presents a comprehensive study based on a research project in the field of Control Systems Engineering, with a primary focus on the comparative analysis of various PID controller tuning techniques for servo systems. The research aims to investigate the effectiveness, stability, and performance characteristics of conventional and intelligent tuning approaches in achieving optimal control response for servo-driven applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786630008845
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a rigorous and systematic investigation into the optimization of Proportional-Integral-Derivative (PID) controllers for industrial servo systems using Genetic Algorithm (GA) optimization techniques. The work bridges classical control theory with modern evolutionary computation, offering both a comprehensive review of existing PID tuning methodologies and a detailed exposition of how biological-inspired optimization can yield superior control performance. It presents a comprehensive study based on a research project in the field of Control Systems Engineering, with a primary focus on the comparative analysis of various PID controller tuning techniques for servo systems. The research aims to investigate the effectiveness, stability, and performance characteristics of conventional and intelligent tuning approaches in achieving optimal control response for servo-driven applications. Bestandsnummer des Verkäufers 9786630008845
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Paperback. Zustand: new. Paperback. This book presents a rigorous and systematic investigation into the optimization of Proportional-Integral-Derivative (PID) controllers for industrial servo systems using Genetic Algorithm (GA) optimization techniques. The work bridges classical control theory with modern evolutionary computation, offering both a comprehensive review of existing PID tuning methodologies and a detailed exposition of how biological-inspired optimization can yield superior control performance. It presents a comprehensive study based on a research project in the field of Control Systems Engineering, with a primary focus on the comparative analysis of various PID controller tuning techniques for servo systems. The research aims to investigate the effectiveness, stability, and performance characteristics of conventional and intelligent tuning approaches in achieving optimal control response for servo-driven applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786630008845
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